System integration

Increase the fidelity of your thermo-fluid system model with embedded 3D CFD. Simcenter allows a tightly coupled co-simulation to solve critical parts of the system in greater detail, allowing interactions to propagate between the 3D and 1D domains to gain greater accuracy, solution stability and confidence in the results.

Use 3D CFD as a virtual test bench to characterize the performance of bespoke components and increase model fidelity. Simulation Based Characterization (SBC) allows you to characterize components with respect to pressure drop and thermal behavior using 3D CFD. This characterization is seamlessly integrated into the system environment for accurate analysis of the overall system behavior.

Validate advanced driver assistance systems (ADAS) and autonomous driving systems with models that include the correct vehicle dynamics and high-fidelity powertrain physics. Simcenter complements our PreScan environment and sensor simulation solution, and makes you more effective in small to massive simulation activities, by providing off-the-shelf fidelity-scalable components. You always get the optimal balance between CPU time and accuracy, for safety, comfort, fuel and electrical energy consumption, and pollutant emissions assessments.

Adopt a new engineering process that considers the complete vehicle and meet stringent legal and financial constraints. Simcenter helps you effectively deploy a model-based design approach. The software supports early design phases by allowing you to create simulation models for range and performance, and enables you later to create advanced vehicle energy management models, including predictive dynamic modeling of the engine, electric powertrain, battery, HVAC and all the associated thermal management systems.

Analyze the interactions among different systems with system-of-systems simulations. The Functional Mock-up Interface (FMI) supports import and export of models which allows you to share models across different simulation tools. Different models can be incorporated into larger simulations capable of accounting for the mutual interactions of different systems and sub-systems.

Design high-quality controls in minimal time with Simcenter, from offline to real-time simulation. Indeed, developing a successful mechatronic solution requires optimizing the mechanics, electronics and software simultaneously as an integrated system. Therefore, control strategy development is more than just creating logic flow diagrams. Some controller functions need advanced algorithms with deep physical insight and high-level mathematics. Accomplish this goal with advanced control techniques, such as model-predictive control (MPC) or neural network (NN).

Unleash the power of design space exploration to discover improved designs faster. Improve the performance of systems by working outside the traditional approaches of optimization. Design exploration provides efficient optimization and insight into design constraints. You can visualize design performance tradeoff between competing objectives and constraints to understand the system in greater detail and make informed design decisions while discovering innovative solutions.